Abstract 'Software ecosystems' is argued to first appear as a concept more than 10 years
ago and software ecosystem research started to take off in 2010. We conduct a systematic …

Today's computational, experimental, and observational sciences rely on computations that
involve many related tasks. The success of a scientific mission often hinges on the computer …

Blind people need to become as independent as possible in their daily life in order to
guarantee a fully social inclusion. Mobility means the possibility of freely moving, without …

Machine learning (ML) is being applied in a number of everyday contexts from image
recognition, to natural language processing, to autonomous vehicles, to product …

With the growing computational complexity of science and the complexity of new and
emerging hardware, it is time to re-evaluate the traditional monolithic design of …

Modern scientific workflows couple simulations with AI-powered analytics by frequently
exchanging data to accelerate time-to-science to reduce the complexity of the simulation …

High-Performance Computing (HPC) workloads generate large volumes of data at high-
frequency during their execution, which needs to be captured concurrently at scale. These …

One of the primary challenges facing scientists is extracting understanding from the large
amounts of data produced by simulations, experiments, and observational facilities. The use …

This paper provides a systematic analysis of publications that discuss data curation in
interdisciplinary and highly collaborative research (IHCR). Using content analysis …

Data models are required to provide the semantics of the underlying data stream for in situ
visualization. In this paper we describe a set of metrics for such a data model that are useful …